• Anomaly Detection with Unknown Anomalies: Application to Maritime Machinery 

      Michalowska, Katarzyna; Riemer-Sørensen, Signe; Sterud, Camilla; Hjellset, Ole Magnus (Peer reviewed; Journal article, 2021)
      We present a framework for deriving anomaly detection algorithms on timeseries data when the time and expression of anomalous behaviour is unknown. The framework is suited for problems in which individual machine learning ...
    • Pseudo-Hamiltonian neural networks with state-dependent external forces 

      Stasik, Alexander Johannes; Sterud, Camilla; Bøhn, Eivind Eigil; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)
      Hybrid machine learning based on Hamiltonian formulations has recently been successfully demonstrated for simple mechanical systems, both energy conserving and not energy conserving. We introduce a pseudo-Hamiltonian ...
    • Stable and robust neural network controllers 

      Sterud, Camilla; Moe, Signe; Gravdahl, Jan Tommy (Chapter, 2021)
      Neural networks are expressive function approimators that can be employed for state estimation in control problems. However, control systems with machine learning in the loop often lack stability proofs and performance ...